"Within months of its launch in November 2022, ChatGPT had started making its mark as a formidable tool for writing and optimizing code. Invariably, some engineers at Samsung thought it was a good idea to use AI to optimize a specific piece of code that they had been struggling with for a while. However, they forgot to note the nature of the beast. AI simply does not forget; it learns from the data it works on, quietly making it a part of its knowledge base."
"How AI tools are different from traditional software: Most of us are accustomed to working with traditional software. We share whatever data we want with them, and the results are private to us. Quite expectedly, corporate employees pay scant regard to the type of data they share, expecting standard access controls to cover any security threats. In sharp contrast, AI systems tend to absorb every piece of data that we share with them."
AI tools absorb and retain every piece of data they process, including code snippets, documents and prompts. Retained data becomes part of the AI's knowledge base and can be accessed by outsiders, creating a permanence problem without a true delete function. Proprietary data exposure can cause millions in losses and erosion of competitive advantage, as when engineers shared Samsung code to a public AI platform. Many employees assume traditional software access controls apply and underestimate the sensitivity of what they share. Leaders must set clear usage policies, adopt enterprise-grade AI with data controls, and enforce security awareness to prevent costly breaches.
Read at Entrepreneur
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